Popular GitHub Repositories for Intuitive Physics

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

? 1Panel offers an intuitive web interface for managing websites, files, containers, databases and LLMs within a Linux server.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

? Rybbit - open-source and privacy-friendly alternative to Google Analytics that is 10x more intuitive.

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

? Refly is an open-source AI-native creation engine. Its intuitive free-form canvas interface combines multi-threaded dialogues, artifact, AI knowledge base integration, chrome extension clip & save, contextual memory, intelligent search, WYSIWYG AI editor and more, empowering you to effortlessly transform ideas into production-ready content.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A library for scientific machine learning and physics-informed learning

Massively parallel rigidbody physics simulation on accelerator hardware.

Comflowyspace is an intuitive, user-friendly, open-source AI tool for generating images and videos, democratizing access to AI technology.

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

An open-source platform for Visual AI.

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Reinforcement learning environments with musculoskeletal models